ArticleProceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control2021
Analysis of an Extremum Seeking Controller Under Bounded Disturbance.
Article in Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Real-Time Feedback-Driven Single-Particle Tracking: A Survey and Perspective.Small (Weinheim an der Bergstrasse, Germany) · 2022Review
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Authors and funding
2 authors.
Funding
Abstract
One of the applications of Extremum Seeking (ES) is to localize the source of a scalar field by using a mobile agent that can measure this field at its current location. While the scientific literature has presented many approaches to this problem, a formal analysis of the behavior of ES controllers for source seeking in the presence of disturbances is still lacking. This paper aims to fill this gap by analyzing a specific version of an ES control algorithm in the presence of source movement and measurement disturbances. We define an approximate version of this controller that captures the main features but allows for a simplified analysis and then formally characterize the convergence properties of this approximation. Through simulations and physical experiments, we compare the theoretically-predicted regions of attraction of the simplified system with the behavior of the full system and show that the simplified version is a good predictor of the behavior of the initial ES controller.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.